Method and System for Targeted Advertising Based on Topical Memes

1. A computer implemented method of targeting advertisement, comprising: receiving, by a computer-based system, a topic selected by a user; retrieving topic-matching content matching the selected topic; extracting, by the computer-based system, a plurality of different topical memes from the topic-matching content, wherein each of the extracted topical memes is a point of discussion within the selected topic; measuring an engagement level for each piece of the topic-matching content; obtaining, based on the measuring, a respective viral dynamics metric for each said piece of the topic-matching content, wherein a viral dynamics metric indicates popularity of the respective piece of the topic-matching content; accumulating, for each of the extracted topical memes, the viral dynamics metrics of the pieces of the topic-matching content; obtaining, based on the accumulating, a respective aggregate viral dynamics value for each of the extracted topical memes; determining a most active meme from the extracted topical memes, based on the aggregate viral dynamics value for each of the extracted topical memes; running an advertisement campaign against the most active meme, wherein said advertisement campaign is targeted to web pages containing the most active meme; selecting an advertising network servicing a number of content sources hosting the web pages containing the most active meme; selecting an advertisement assigned to the most active meme; and delivering the selected advertisement to the number of content sources, through the selected advertising network.

2. The method of claim 1 , wherein each of the extracted topical memes is extracted by applying a feature extraction algorithm to the topic-matching content.

3. The method of claim 1 , further comprising storing the aggregate viral dynamics value for each of the extracted topical memes in time series.

4. The method of claim 3 , further comprising terminating the advertisement campaign when said aggregate viral dynamics value of the most active meme falls below a threshold.

5. The method of claim 1 , wherein the advertising network is selected to maximize a number of pages containing the most active meme that can be reached by the advertisement campaign.

6. A system for performing meme-based targeted advertising, comprising: a computer, having a processor and a computer readable storage medium storing computer readable instructions for execution by the processor, wherein the instructions, when executed by the processor, cause the computer to perform a method comprising: retrieving topic-matching content matching a selected topic; extracting a plurality of topical memes from the topic-matching content, wherein each of the extracted topical memes is a point of discussion within the selected topic; measuring an engagement level for each piece of the topic-matching content; obtaining, based on the measuring, a respective viral dynamics metric for each said piece of the topic-matching content, wherein a viral dynamics metric indicates popularity of the respective piece of the topic-matching content; accumulating, for each of the extracted topical memes, the viral dynamics metrics of the pieces of the topic-matching content; obtaining, based on the accumulating, a respective aggregate viral dynamics value for each of the extracted topical memes; determining a most active meme from the extracted topical memes, based on the aggregate viral dynamics value for each of the extracted topical memes; running an advertisement campaign against said most active meme, wherein said advertisement campaign is targeted to web pages containing the most active meme; selecting an advertising network servicing a number of content sources hosting the web pages containing the most active meme; selecting an advertisement assigned to the most active meme; and delivering the selected advertisement to the number of content sources, through the selected advertising network.

7. A non-transitory computer-readable medium comprising computer-executable instructions stored thereon, which, when executed by a computer, perform the steps comprising: receiving a topic selected by a user; retrieving topic-matching content matching the selected topic; extracting a plurality of different topical memes from the topic-matching content, wherein each of the extracted topical memes is a point of discussion within the selected topic; measuring an engagement level for each piece of the topic-matching content; obtaining, based on the measuring, a respective viral dynamics metric for each piece of the topic-matching content, wherein a viral dynamics metric indicates popularity of the respective piece of the topic-matching content; accumulating, for each of the extracted topical memes, the viral dynamics metrics of the pieces of the topic-matching content; obtaining, based on the accumulating, a respective aggregate viral dynamics value for each of the extracted topical memes; determining a most active meme from the extracted topical memes, based on the aggregate viral dynamics value for each of the extracted topical memes; running an advertisement campaign against the most active meme, wherein said advertisement campaign is targeted to web pages containing the most active meme; selecting an advertising network servicing a number of content sources hosting the web pages containing the most active meme; selecting an advertisement assigned to the most active meme; and delivering the selected advertisement to the number of content sources, through the selected advertising network.